GenAI, machine learning, signal processing and cloud/software development across healthcare, defence, business and economic fields.
Real-time patient monitoring, medical image analysis for dementia characterisation, EEG analysis for intraoperative neurological monitoring and pre-eclampsia prediction.
Bayesian approaches to world modelling in medical, time series and streaming data systems.
LLM guardrails, cyber security implementation, GDPR-aware governance and organisational risk management.
Supporting the transition of female, black, disabled and low-income learners into AI fields through the ELAN project.
On-ward predictive analytics identifying at-risk children — providing up to 12 hours advance warning of cardiac arrest, with whole-ward visual analytics mapping patient deterioration.
PhD Project with Ziad Ali & Atif Azad demonstrating adversarial attacks against state-of-the-art AI algorithms. Published in CVPR.
PhD Project with Kirsty Link & Sayan Sarcar identifying limitations in dementia-oriented UX design.
PhD research building novel deep-learning architectures and AI-enabled smart alarms for undersea target identification, briefed to high-ranking military personnel.
Diabetes outcome prediction, medical image analysis for dementia characterisation, EEG analysis for intraoperative neurological monitoring and pre-eclampsia outcome prediction.
Supporting the transition of female, black, disabled and low-income learners into AI fields.
I have been interviewed for ITV News and given special comment on risks of smart-glasses for the Guardian. My postdoctoral work on the RAPID project was recorded for CBBC's Operation Ouch, and the underlying Smart Alarm System became the subject of a patent application. PhD research was communicated directly to high-ranking military personnel at international conferences.
I'm always open to applied AI collaborations with clinical, industrial and social value.